Available for new projects  ·  Remote & On-site · Strasbourg, France

I turn messy data
into clear decisions.

Xavier Richert — Data Analyst, Statistician & Educator with degrees from Heidelberg, NC State, and MITx. I speak fluent Python, SAS, R — and surprisingly good English, French and German too.

"In God we trust. All others must bring data." — W. Edwards Deming
Let's work together → See my projects
4+
Years of experience
4
Human languages spoken
MITx
MicroMasters certified
0
P-values left unexplained
What I do

Services that actually deliver

No fluff, no buzzwords. Just rigorous analysis and tools that make your data work for you — not the other way around.

[ N ]
Network Analysis
Mapping complex relationships between entities to uncover hidden patterns, bottlenecks, and opportunities you didn't know existed. Like LinkedIn but useful.
Graph Theory · Community Detection
[ S ]
Statistical Modeling
Hypothesis testing, regression, inference — making sense of uncertainty with mathematical rigor. Because "it looks about right" isn't a strategy.
Inference · Hypothesis Testing
[ V ]
Data Visualization
Transforming walls of numbers into clear, compelling visuals. With a math teacher's instinct for clarity and a data nerd's love of accuracy.
Tableau · Python · R · Excel
[ F ]
Field Operations Optimisation
When the postal service assigned one person three people's workload, I turned the chaos into a dataset and the route into an optimisation problem. 98% efficiency. Zero missed deliveries.
Route Optimisation · Simulation · Field Data
[ P ]
Python & SAS Automation
If you're doing it manually, I can probably automate it. SAS Advanced Level + Python means your reports run themselves while you drink coffee.
Python · SAS Advanced · VBA
[ T ]
Training & Consulting
Many years of math teaching means I can explain the most complex concepts to any audience. Your team will actually understand what I build for them.
Workshops · Documentation
Tech stack

My toolkit

Built over years of real projects — not just YouTube tutorials and weekend hackathons.

// Programming Languages
Python (Pandas, NumPy, SciPy) SAS Advanced R SQL Excel VBA Java
// Analytics & BI Tools
Tableau Jupyter Notebooks VS Code Git Excel
// Statistical Methods
Statistical Modeling Machine Learning Hypothesis Testing Regression Analysis Network Analysis Big Data Data Visualization
// Human Languages
French (Native) English (Native) German (Near-native) Hungarian (Fluent)
xavier_richert.py
# Who is this person exactly? profile = { "name": "Xavier Richert", "location": "Strasbourg, France", "education": ["Heidelberg", "NC State", "MITx"], "human_langs": [ "French", "English", "German", "Hungarian" ], "code_langs": ["Python", "SAS", "R", "SQL", "VBA"], "secret_skill": "trained church organist", "cybersec_cert": "ISC² CC — 80%", } print("Ready to make your data great 🚀") > Ready to make your data great 🚀
// Fun facts (statistically verified)
▸ Taught math at a school for the blind — yes, in Braille. Try explaining trigonometry in Braille and you'll understand real patience.
▸ Fluent in 4 human languages. The 5th is Python (it doesn't count — it's indentation-based).
▸ Trained organist for sacred music. I play Bach for pure joy.
▸ My null hypothesis: your data is a mess. I'm usually wrong — but always prepared.
Portfolio

Selected work

A sample of the analytical challenges I've tackled. Each one started with a question and ended with an answer — ideally a useful one.

NETWORK
Network Analysis
Mapping complex entity relationships and identifying structural patterns in large-scale network data using graph theory and community detection algorithms.
Python NetworkX Visualization
FIELD OPS
Field Operations Study — La Poste
One analyst. Three people's workload. 1,780 letterboxes, 300 kg of mail, and a daily 2.7-hour deficit — solved with route optimisation, simulation, and predictive scheduling.
Python Simulation Route Opt. Field Data
ML / STATS
Machine Learning & Statistical Modeling
Applied supervised learning, regression, and hypothesis testing to extract actionable insights from large datasets — turning numbers into narratives that matter.
R SAS Python Sci-kit learn
Credentials

Where the maths degree actually comes from

Real institutions, real exams, real sweat. And the occasional existential crisis at 2am over a statistics textbook.

[ 01 ]
Ruprecht-Karls-Universität Heidelberg
Bachelor of Science in Mathematics & Physics. Founded in 1386 — one of the oldest universities in the world. The maths was modern though, I promise.
Germany · 2001
[ 02 ]
NC State University
Master's in Math Education + Graduate Certificate in Applied Statistics & Data Management. Where I learned to teach and build data pipelines.
USA · 2015–2019
[ 03 ]
MITx MicroMasters
Statistics & Data Analysis — postgraduate specialization with rigorous capstone exams. MIT-level stats, delivered online. The coffee bill was real.
USA (Online) · 2021–2023
[ 04 ]
ISC² Cybersecurity Certification
CC Certification — scoring 80%. Covers access control, incident response, network security & data privacy. Because data also needs a bouncer.
ISC² · 2026
[ 05 ]
French and American Teaching Certificate
Certified secondary math teacher (France and NC, USA). ENIC-NARIC/CLEP recognized — Baccalauréat +5, EQR Level 7, 300 ECTS. Yes, that's as rigorous as it sounds.
Nancy, France · 2020 · NC, USA · 2017
[ 06 ]
Braille Math Specialist
Developed complete UEB-Braille math curricula at Governor Morehead School for the Blind, NC. If you can write calculus in Braille, you can handle your dashboard.
NC, USA · 2019–2020
Philosophy
"Data is a jungle — messy, dense, and full of noise.
I ask the questions that carve a clear path through it."
— Xavier Richert, probably after the third coffee
Let's connect

Got data? Let's talk.

Whether it's a complex analysis, a messy dataset, or a pipeline that needs a lifeline — I'm here. No judgment. Every dataset has a story; I help you tell it. In English, French, German, or Python.

Get in touch →